Interop SIG, 2 April 2026: OpenRobOps
New open-source platform aims to solve the industry's fragmentation crisis by providing essential fleet operations software.
InOrbit.AI is tackling what it calls a "fragmentation crisis" in robotics operations with the launch of OpenRobOps (ORO). Announced for the upcoming Interoperability Special Interest Group meeting on April 2, 2026, ORO is an open-source platform designed to fill a critical gap in the robot software stack. While ROS standardizes the device layer and Open-RMF handles traffic negotiation between different fleets, the core fleet management layer remains unstandardized. This forces developers to waste significant resources building proprietary managers for connectivity, observability, and state management—essentially reinventing the wheel for every new fleet.
Led by CEO Florian Pestoni, InOrbit.AI's solution, ORO, provides the essential robot-specific functionality needed to fully operationalize a fleet, including logging and remote access. The platform is positioned as complementary to Open-RMF, which manages how fleets interact with shared infrastructure like doors and elevators. By releasing ORO as open source, InOrbit aims to break the cycle of redundant development, allowing system integrators to build on a common foundation. This strategic move is intended to accelerate the adoption and scalability of both industrial and service Autonomous Mobile Robots (AMRs) by lowering development barriers and fostering a more collaborative ecosystem.
- InOrbit.AI CEO Florian Pestoni to announce OpenRobOps (ORO) at the Interop SIG meeting on April 2, 2026.
- ORO is an open-source platform providing essential fleet management functions like connectivity, logging, and remote access.
- Aims to solve industry fragmentation by preventing redundant development of proprietary fleet managers for AMRs.
Why It Matters
Standardizing core fleet operations can dramatically accelerate robot deployment and service growth across industries.